Publication Details

Evaluation of 4D Light Field Compression Methods

BAŘINA David, CHLUBNA Tomáš, ŠOLONY Marek, DLABAJA Drahomír and ZEMČÍK Pavel. Evaluation of 4D Light Field Compression Methods. In: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Part I. Computer Science Research Notes (CSRN), vol. 2019. Plzeň: Union Agency, 2019, pp. 55-61. ISBN 978-80-86943-37-4.
Czech title
Vyhodnocení metod komprese 4D světelných polí
Type
conference paper
Language
english
Authors
Bařina David, Ing., Ph.D. (DCGM FIT BUT)
Chlubna Tomáš, Ing. (DCGM FIT BUT)
Šolony Marek, Ing., PhD. (DCGM FIT BUT)
Dlabaja Drahomír, Ing. (FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Keywords

Light field, Plenoptic imaging, Lossy compression, Image refocusing

Abstract

Light field data records the amount of light at multiple points in space, captured e.g. by an array of cameras or by a light-field camera that uses microlenses. Since the storage and transmission requirements for such data are tremendous, compression techniques for light fields are gaining momentum in recent years. Although plenty of efficient compression formats do exist for still and moving images, only a little research on the impact of these methods on light field imagery is performed. In this paper, we evaluate the impact of state-of-the-art image and video compression methods on quality of images rendered from light field data. The methods include recent video compression standards, especially AV1 and XVC finalised in 2018. To fully exploit the potential of common image compression methods on four-dimensional light field imagery, we have extended these methods into three and four dimensions. In this paper, we show that the four-dimensional light field data can be compressed much more than independent still images while maintaining the same visual quality of a perceived picture. We gradually compare the compression performance of all image and video compression methods, and eventually answer the question, "What is the best compression method for light field data?".

Published
2019
Pages
55-61
Proceedings
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Part I
Series
Computer Science Research Notes (CSRN)
Volume
2019
Conference
27th International Conference on Computer Graphics, Visualization and Computer Vision 2019, Plzeň, CZ
ISBN
978-80-86943-37-4
Publisher
Union Agency
Place
Plzeň, CZ
DOI
10.24132/CSRN.2019.2901.1.7
EID Scopus
2-s2.0-85078514811
BibTeX 
@INPROCEEDINGS{FITPUB11970,
   author = "David Ba\v{r}ina and Tom\'{a}\v{s} Chlubna and Marek \v{S}olony and Drahom\'{i}r Dlabaja and Pavel Zem\v{c}\'{i}k",
   title = "Evaluation of 4D Light Field Compression Methods",
   pages = "55--61",
   booktitle = "International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Part I",
   series = "Computer Science Research Notes (CSRN)",
   volume = 2019,
   year = 2019,
   location = "Plze\v{n}, CZ",
   publisher = "Union Agency",
   ISBN = "978-80-86943-37-4",
   doi = "10.24132/CSRN.2019.2901.1.7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11970"
}
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